Consciousness, a perennial subject of fascination, has witnessed a surge in scientific exploration over recent decades. A primary objective in the science of consciousness is elucidating the neural mechanisms governing conscious states and devising methodologies for diagnosing and recovering impaired consciousness (e.g., in the disorders of consciousness). SFIM actively contributes to this scientific realm through the utilization of cutting-edge computational and neuroimaging tools, including high-field fMRI, MEG, and pupillometry, to investigate two pivotal themes in the study of consciousness.
1. Neural Mechanisms of Consciousness
The central challenge in understanding consciousness lies in unraveling how neural processes give rise to subjective states of conscious experience. Additionally, there is long-standing interest in discerning how diverse sources of content in conscious experiences (such as vision versus audition, or sight versus imagery) share common neural networks. Several projects within SFIM employ afterimages as a perceptual model to delve into these inquiries and explore the neural underpinnings of conscious experience.
2. Predicting Conscious Content and State
Conscious states exhibit spontaneous fluctuations influenced by neurophysiological dynamics. The ability to predict conscious states from physiological indicators holds broad significance for both experimental and clinical domains. Two specific projects in SFIM employ electrophysiology and real time pupillometry methods to forecast states of arousal/vigilance linked with conscious states (Samika, Sharif, and colleagues). Additionally, predicting the content of consciousness (i.e., the subjects of conscious perception) is crucial for accounting for variability in neural signals. Javier and colleagues are leading projects exploring how the content of conscious perception during resting-state fMRI can impact recorded activity on an individual subject basis. Finally, another project lead by Sharif, Tori, and colleagues explores how eye metrics can be used to predict conscious perception in cortical blindness.
Publications:
2024
Neuroscience of Consciousness
2024
BioRxiv
2023
Brain network dynamics in transitions of consciousness reorganize according to task engagement
BioRxiv
Presentations:
July 2024
The central neural mechanisms of afterimage perception: A whole brain and cortical layer fMRI study
2024: Association for the Scientific Study of Consciousness
July 2024
2024: Association for the Scientific Study of Consciousness
June 2024
2024: Organization for Human Brain Mapping
June 2024
Phase of pupillary unrest corresponds with perceptual sensitivity, MEG, and whole brain fMRI signals
2024: Organization for Human Brain Mapping
Gobo_et_al_OHBM_2024.pdf
November 2023
Pupil size and phase as a real-time marker of perceptual sensitivity and whole brain activity
2023: Society For Neuroscience
Gobo_et_al_SFN_2023.pdf
November 2023
2023: Society For Neuroscience
July 2023
2023: Organization for Human Brain Mapping
July 2023
2023: Organization for Human Brain Mapping
July 2023
2023: Organization for Human Brain Mapping
November 2022
2022: Society For Neuroscience